Improved Privacy: Preserving Techniques in Large Database

Improved Privacy: Preserving Techniques in Large Database

K. Abumani (Karunya Institute of Technology and Sciences, India) and R. Nedunchezhian (Sri Ramakrishna Engineering College, India)
Copyright: © 2008 |Pages: 22
DOI: 10.4018/978-1-59904-958-8.ch014
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Abstract

Data mining techniques have been widely used for extracting non-trivial information from massive amounts of data. They help in strategic decision-making as well as many more applications. However, data mining also has a few demerits apart from its usefulness. Sensitive information contained in the database may be brought out by the data mining tools. Different approaches are being utilized to hide the sensitive information. The proposed work in this article applies a novel method to access the generating transactions with minimum effort from the transactional database. It helps in reducing the time complexity of any hiding algorithm. The theoretical and empirical analysis of the algorithm shows that hiding of data using this proposed work performs association rule hiding quicker than other algorithms.

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